# View Source Changelog

##
v0-4-2-2023-01-13

v0.4.2 (2023-01-13)

###
enhancements

Enhancements

- [Nx] Allow tensors to be given on
`Nx.tensor/2`

- [Nx] Add
`Nx.with_default_backend/2`

- [Nx] Add
`:axes`

option to`Nx.flatten/2`

- [Nx] Add
`:axes`

option to`Nx.weighted_mean/2`

- [Nx.Defn] Warn if
`Nx.tensor/2`

first-argument is not constant inside defn - [Nx.LinAlg] Add
`Nx.LinAlg.pinv/1`

- [Nx.LinAlg] Optimize and handle more cases in
`Nx.LinAlg.svd/1`

###
bug-fixes

Bug fixes

- [Nx] Respect fortran order in loading from numpy
- [Nx.Defn] Render containers in compile error type+shape mismatch
- [Nx.Defn] Restore pdict state after compilation

##
v0-4-1-2022-12-07

v0.4.1 (2022-12-07)

###
enhancements-1

Enhancements

- [Nx] Add
`Nx.Batch`

and`Nx.Serving`

- [Nx] Implement
`Nx.Container`

for numbers, complex, and tensors for completeness - [Nx] Support batches in
`Nx.eye/2`

###
bug-fixes-1

Bug fixes

- [Nx] Keep input tensor names on associative scan
- [Nx.BinaryBackend] Differentiate between complex and real output in
`as_type`

- [Nx.BinaryBackend] Fix loss of precision in
`Nx.complex/2`

- [Nx.BinaryBackend] Preserve NaNs in
`window`

and`reduce`

operations - [Nx.Random] Do not return infinity on
`normal/2`

for f16

##
v0-4-0-2022-10-25

v0.4.0 (2022-10-25)

###
enhancements-2

Enhancements

- [Nx] Add
`Nx.rename/2`

,`Nx.median/2`

,`Nx.weighted_mean/3`

, and`Nx.mode/2`

- [Nx] Implement cumulative operations using associative scan for improved performance
- [Nx.Constants] Add
`min`

and`max`

- [Nx.Defn] Allow lists and functions anywhere as arguments in
`defn`

,`jit`

and`compile`

- [Nx.Defn] Add
`Nx.LazyContainer`

that allows a data-structure to lazily define tensors - [Nx.Defn] Allow tensors and ranges as generators inside
`while`

- [Nx.Defn] Add
`debug_expr/2`

and`debug_expr_apply/3`

- [Nx.Defn.Evaluator] Calculate cache lifetime to reduce memory usage on large numerical programs
- [Nx.LinAlg] Handle Hermitian matrices in
`eigh`

- [Nx.LinAlg] Support batched operations in
`adjoint`

,`cholesky`

,`determinant`

,`eigh`

,`invert`

,`lu`

,`matrix_power`

,`solve`

,`svd`

, and`triangular_solve`

- [Nx.Random] Support pseudo random number generators algorithms

###
bug-fixes-2

Bug fixes

- [Nx] Perform
`window_reduce`

/`reduce`

operations from infinity and negative infinity - [Nx.Defn] Ensure
`defnp`

emits warnings when unused - [Nx.Defn] Warn on unused variables in
`while`

###
deprecations

Deprecations

- [Nx] Deprecate tensor as shape in
`Nx.eye/2`

and`Nx.iota/2`

- [Nx] Deprecate
`Nx.random_uniform/2`

and`Nx.random_normal/2`

##
v0-3-0-2022-08-13

v0.3.0 (2022-08-13)

###
enhancements-3

Enhancements

- [Nx] Improve support for non-finite values in
`Nx.broadcast/2`

,`Nx.all_close/2`

, and more - [Nx] Add
`Nx.is_nan/1`

and`Nx.is_infinite/1`

- [Nx] Support booleans in
`Nx.tensor/2`

- [Nx] Add
`Nx.fft/2`

and`Nx.ifft/2`

- [Nx] Rename
`Nx.logistic/1`

to`Nx.sigmoid/1`

- [Nx] Add
`Nx.put_diagonal/3`

and`Nx.indexed_put/3`

- [Nx] Add
`:reverse`

to cummulative functions - [Nx] Add
`Nx.to_batched/3`

which returns a stream - [Nx] Support batched tensors in
`Nx.LinAlg.qr/1`

- [Nx.Defn] Add
`Nx.Defn.compile/3`

for precompiling expressions - [Nx.Defn] Add
`deftransform/2`

and`deftransformp/2`

for easier to define transforms - [Nx.Defn] Add
`div/2`

- [Nx.Defn] Support
`case/2`

,`raise/1`

, and`raise/2`

- [Nx.Defn] Support booleans in
`if`

,`cond`

, and boolean operators - [Nx.Defn] Perform branch elimitation in
`if`

and`cond`

and execute branches lazily - [Nx.Defn.Evaluator] Garbage collect after evaluation (it can be disabled by setting the
`:garbage_collect`

compiler option to false)

###
deprecations-1

Deprecations

- [Nx]
`Nx.to_batched_list/3`

is deprecated in favor of`Nx.to_batched/3`

- [Nx.Defn]
`transform/2`

is deprecated in favor of`deftransform/2`

and`deftransformp/2`

- [Nx.Defn]
`assert_shape/2`

and`assert_shape_pattern/2`

are deprecated in favor of`case/2`

+`raise/2`

- [Nx.Defn]
`inspect_expr/1`

and`inspect_value/1`

are deprecated in favor of`print_expr/1`

and`print_value/1`

respectively

##
v0-2-1-2022-06-04

v0.2.1 (2022-06-04)

###
enhancements-4

Enhancements

- [Nx] Improve support for non-finite values in
`Nx.tensor/1`

- [Nx] Use iovec on serialization to avoid copying binaries
- [Nx.BinaryBackend] Improve for complex numbers in
`Nx.tensor/1`

- [Nx.Defn] Improve for complex numbers inside
`defn`

###
bug-fixes-3

Bug fixes

- [Nx] Properly normalize type in
`Nx.from_binary/3`

- [Nx.Defn] Raise on
`Nx.Defn.Expr`

as JIT argument - [Nx.Defn.Evaluator] Handle concatenate arguments on evaluator

##
v0-2-0-2022-04-28

v0.2.0 (2022-04-28)

This version requires Elixir v1.13+.

###
enhancements-5

Enhancements

- [Nx] Support atom notation as the type option throughout the API (for example,
`:u8`

,`:f64`

, etc) - [Nx] Add support for complex numbers (c64, c128)
- [Nx] Add
`Nx.cumulative_sum/2`

,`Nx.cumulative_product/2`

,`Nx.cumulative_min/2`

,`Nx.cumulative_max/2`

- [Nx] Add
`Nx.conjugate/1`

,`Nx.phase/1`

,`Nx.real/1`

, and`Nx.imag/1`

- [Nx] Initial support for NaN and Infinity
- [Nx] Add
`:axis`

option to`Nx.shuffle/2`

- [Nx] Add
`Nx.axis_index/2`

- [Nx] Add
`Nx.variance/2`

to`Nx.standard_deviation/2`

- [Nx] Rename
`Nx.slice_axis/3`

to`Nx.slice_along_axis/4`

- [Nx.Backend] Add support for optional backends
- [Nx.Constants] Provide a convenient module to host constants
- [Nx.Defn] Improve error messages throughout the compiler

##
v0-1-0-2022-01-06

v0.1.0 (2022-01-06)

First release.